基于大数据和人工智能背景下的油气储运工程专业应用型人才培养内容体系研究路径

Research Pathway for the Applied Talent Training Content System in Oil and Gas Storage and Transportation Engineering under the Background of Big Data and Artificial Intelligence

摘要: 基于油气储运工程领域技术发展趋势，结合学校人才培养定位，开展油气储运工程专业应用型人才培养知识体系框架的探究，通过整体设计专业人才培养内容体系，优化培养方案，修订教学大纲，评估培养效果，形成一套充分融合大数据、智能化与物联网技术发展趋势、符合学校办学定位的、满足行业需求的专业人才培养内容体系，促进专业改造升级，提升专业人才培养质量。

Abstract: This study explores the knowledge system framework for the cultivation of applied talents in oil and gas storage and transportation engineering. It aligns with technological trends in the field and the university’s talent development goals. By designing a comprehensive content system, optimizing training programs, revising syllabi, and evaluating outcomes, a professional talent cultivation content system is formed. This tailored system integrates the development trends of big data, intelligent, and Internet of Things technologies. And this system meets industry demands and supports the university’s educational mission, driving program modernization and enhancing the quality of talent cultivation.